This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
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Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
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PYTHON DATA ANALYSIS의 최상위 리뷰
This course requires a lot of practice to be able to solve the project. Overall, i feel the practice was a bit less and the final project required a steep learning curve
Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.
One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.
Great programming practice, especially the project for week4. I am more comfortable with lambda now. I am much more helpful to my son in Python classes.
Introduction to Scripting in Python 특화 과정 정보
Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.
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